We use unsupervised probabilistic machine learning ideas to try to explain the kinds of learning observed in real neurons, the goal being to connect abstract principles of self-or...
A typical web search engine consists of three principal parts: crawling engine, indexing engine, and searching engine. The present work aims to optimize the performance of the cra...
Konstantin Avrachenkov, Alexander N. Dudin, Valent...
—Today verification, testing and debugging of SystemC models can be applied at an early stage in the design process. To support these techniques gaining required information of ...
In this paper we address the issue of continuous keyword queries on multiple textual streams. This line of work represents a significant departure from previous keyword search mod...
Vagelis Hristidis, Oscar Valdivia, Michail Vlachos...
We consider the general problem of tracking moving objects in sensor networks. The specific application we consider is that of tracking a chemical plume moving over a large infra...